Position Details
About this role
This role involves developing and maintaining data pipelines and infrastructure on AWS to support analytics and AI initiatives, ensuring data security and platform stability.
Key Responsibilities
- Develop ETL pipelines
- Maintain data infrastructure
- Implement data security
- Collaborate with BI teams
- Optimize data storage
Technical Overview
Technical environment includes Python, Spark, SQL, AWS services (S3, Glue, Lambda, SNS, SQS, KMS), data warehousing, data lakes, and distributed systems.
Ideal Candidate
The ideal candidate is a data engineer with expertise in building and maintaining ETL pipelines using Python and AWS services, with experience in data warehousing and lakes for analytics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS data services, No background in ETL or data pipelines, Unable to work with complex data environments, No experience with data security or permissions
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